3 edition of improved growth intercept method for estimating site index of red pine found in the catalog.
improved growth intercept method for estimating site index of red pine
David H. Alban
by North Central Forest Experiment Station, Forest Service, U.S. Dept. of Agriculture in [Saint Paul, Minn.]
|Statement||David H. Alban.|
|Series||Research paper NC -- 80.|
|Contributions||North Central Forest Experiment Station (Saint Paul, Minn.)|
|The Physical Object|
|Pagination||7 p. :|
The growth system includes models for individual tree survival, diameter growth, height growth, and change in crown ratio for each of the three species groups. A multivariate extension of a two-step, model-based interpolation method is proposed to estimate parameters of annual tree growth equations based on measurements from 7-year growth periods. Site index (base age 50 years), recorded on each 1A-acre plot for the dominant species, ranged from 30 to Site-index conversion equations were used to assign the appropriate site index to each tree depending on its species. Quadratic mean stand diameter ranged from 5 to 13 inches, indicating a wide range in the age of the stands sampled.
13 An improved growth intercept method for estimating site index of red pine / David H. Alban by Alban, David H [Saint Paul, Minn.]: North Central Forest Experiment Station, Forest Service, U.S. Dept. of Agriculture, The site index showed opposing effects on Scots pine and oak (Table 3, Fig. 4). The positive mixing effect on Scots pine increased with its species-specific site index (p site index of oak (p.
to days. Site index for red pine is between 65 and The planting site had been cleared of northern hardwoods in , farmed for 15 years, and then left fallow for about 60 years until the trees were planted. The study was established in two phases on sites that are immediately adjacent to one another. Both plantings were established. Site Index (age 25 yrs.) 60 feet Current Age 10 years Current Pine Trees/Ac Current Pine Basal Area sq. ft. Taxes Capital Gains 15% State Tax 5% All values were kept on an uninflated basis and no other real appreciation was included in this analysis.
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D.H. Alban, “An Improved Growth Intercept Method for Estimating Site Index of Red Pine,” U.S. Forest Serv., North Central Forest Expt.
Sta., Res. Paper NC,p. T.E. Avery and H.E. Burkhart, Forest Measurements. McGraw-Hill,p. Improved growth intercept method for estimating site index of red pine. [Saint Paul, Minn.]: North Central Forest Experiment Station, Forest Service, U.S. Dept.
of Agriculture, (OCoLC) An improved growth intercept method for estimating site index of red pine / By David H. Alban and Minn.) North Central Forest Experiment Station (Saint Paul Abstract. A Height Growth Model and Associated Growth Intercept Models for Estimating Site Index in Black Spruce (Picea mariana Mill.
B.S.P.) Plantations in Northern Ontario, Canada and red pine. Silviculture surveyors, and others who need to estimate site index during a silviculture survey or a reconnaissance, should consult the appropriate field guide for silviculture surveys (B.C.
Min. For. Growth intercept method for silviculture surveys. Forest Practices Br., Victoria, B.C.). estimate site index of red pine damaged by Euro-were used to develop equations relating site index pean pine shoot moth (Schallau and Miller ).
to growth intercept and 66 additional stands In this study red pine stands were used to (check stands) were used to test and verify them. The relationship between site index at age 20 years and growth intercept (data points and regression lines) for jack pine planta- tions at breast height ages (BHAs) of (A) 1 year, (B) 5 years, (C.
Growth intercept methods for predicting site index in red pine plantations in the Allegheny Plateau of Ohio. In red pine [Pinus resinosa] stands planted on old-field sites, correlations between height growth of trees below breast height (BH) and height growth above BH were not statistically significant.
Carmean et al. () provided seven sets of site index curves for red pine using various index ages. Although an index age of 50 is commonly used, some of them use younger index ages.
These curves are representative of height growth patterns for red pine based on total tree age, plantation age, and age measured at breast height (measured at ft or m above the ground) for specific. Nigh, G.D. The geometric mean regression line: a method for developing site index conversion equations for species in mixed stands.
For. Sci. 41(1) Nigh, G.D. Variable growth intercept models for lodgepole pine in the sub-boreal spruce biogeoclimatic zone, British Columbia. A set of growth intercept sub-models are generated to estimate site index from the average of xyears of height growth above breast height, where xvaries from 1 to This new method is referred to as variable growth intercept modelling to distinguish it from the traditional ﬁxed growth interceptmodelling.
Sixty-five jack pine (Pinus banksiana Lamb.) plantations (growth and variable growth intercept (GI) models for jack pine plantations in northern Ontario, Canada.
Based on the residual plots and model-fitting statistics, these models can be recommended for estimating site index (SI) of young. A study investigating precision and effects of the growth-intercept method of estimating site index, in young (approximately to yr-old) stands of black pine (P.
nigra) in Arcadia (early s plantations on former heathlands - 39 sample plots) and the Pindos Mountains (natural stands, on previous P.
nigra forest destroyed by fires - 42 plots). The primary disadvantage of the growth intercept method is that early height growth patterns may not be a reflection of later height growth patterns.
Table 1 and 2 below provide estimates of site quality for red pine based on annual internode growth above breast height.
Table 1. Estimates of site index for red pine trees greater than 15 years old. Site index based on height growth is now the most widely accepted method for estimating site quality in the United States.
There are several methods for estimating site quality. Direct estimation of site index is based on height and age measurements from free-growing, uninjured, dominant, or dominant and codominant trees.
This assessment includes the quantification of regenerated site potentials, as commonly measured by site index.
Growth intercept models were developed in this study to estimate site index based on a few years of juvenile height growth above a conveniently selected base height. The growth intercept models for black spruce were the most precise, followed by those for jack pine and finally by those for balsam fir, based on the root mean square errors.
Results indicated that the accuracy of the models was good, relative to those previously published for other species in Canada. Height-growth patterns for jack pine (Pinusbanksiana Lamb.) were studied using stem analyses from dominant and codominant trees on plots in north central plots were in natural, well-stocked, even-aged stands 50 years of age or older.
Data from 32 of the plots were randomly selected to confirm results, the remaining plots were used for computing the curves. The study was carried out in to on the 11 km 2 island Svanøy at the western coast of Norway (61°30N, 5°05E).
Svanøy is situated in the boreonemoral zone and old-growth forest vegetation dominated by pine (Pinus sylvestris) and an understory dominated by Ericacea dwarf-shrubs covers most of the study sites were located within old-growth pine-bilberry forest. Species Growth Factor Aspen spp.
2 American elm 4 Austrian pine Basswood 3 Birch, paper 5 Black cherry 5 Black maple 5 Black walnut Colorado blue spruce Cottonwood 2 Green ash 4 Ironwood 7 Kentucky coffee tree 3 Northern red oak 4 Norway maple Red maple Red pine River birch Scotch pine.
Using ARIMA model, you can forecast a time series using the series past values. In this post, we build an optimal ARIMA model from scratch and extend it to Seasonal ARIMA (SARIMA) and SARIMAX models.
You will also see how to build autoarima models in python.Leaf area index (LAI) is an indicator of the size of assimilatory surface of a crop. The analysis of 2 years of pooled data of both locations (Location-I and Location-II) regarding leaf area index given in Table revealed that the cane LAI was significantly affected by different ASMD levels than by different planting patterns.
The maximum LAI of and was recorded at Location-II.Characteristics of red pine 2 Available plot records 3 Factors studied—the independent variables 5 Stand age 5 Site 6 Stand density 9 Cutting methods ^ 11 Individual tree distribution ^ 11 Intensity of cutting 13 Number of trees per acre 14 Growth of red pine 14 Basal area growth.
14 Cubic-foot and cordwood growth tables